Through Walls Collaboration to Support Command and Control Operations with Eyes and Ears in the Field. Australia is a geographically dispersed country with locations of high concentrations of technology resources. Australia requires the ability to gather real time intelligence information in the field to support planning and operational decisions by a command team for military and civil defence operations. Currently Australia supports such operations in remote areas of the country and numerous o ....Through Walls Collaboration to Support Command and Control Operations with Eyes and Ears in the Field. Australia is a geographically dispersed country with locations of high concentrations of technology resources. Australia requires the ability to gather real time intelligence information in the field to support planning and operational decisions by a command team for military and civil defence operations. Currently Australia supports such operations in remote areas of the country and numerous overseas operations. A major research outcome is the design and development of interaction techniques for the mobile users in through walls collaboration systems to control and manipulate augmented reality information in the field across a number of application domains, such as medical, maintenance, military, search and rescue, and GIS visualization.Read moreRead less
Statistical Methods of Model Fitting and Segmentation in Computer Vision. Electronic sensors such as cameras and lasers can provide a rich source of information about the position, shape, and motion of objects around us. However, to extract this information in a reliable, automatic, and accurate way requires a sophisticated statistical theory of the process. Example applications include: video surveillance (better automatic detection of moving people and vehicles and of characterising what those ....Statistical Methods of Model Fitting and Segmentation in Computer Vision. Electronic sensors such as cameras and lasers can provide a rich source of information about the position, shape, and motion of objects around us. However, to extract this information in a reliable, automatic, and accurate way requires a sophisticated statistical theory of the process. Example applications include: video surveillance (better automatic detection of moving people and vehicles and of characterising what those people and vehicles are doing), industrial prototyping and inspection (measuring the size and shape of objects), urban planning (laser scanning streetscapes to create computer models of cities), entertainment industry (movie special effects and games), etc. Read moreRead less
Learning to see in 3D. The project aims to endow machine vision with an ability we, as humans, use almost constantly: to judge 3D properties from a 2D image. This extremely useful ability will be applied to digital images to obtain 3D measurements and aid in automating tasks such as mining, surveying, medical diagnosis, and visual effects in movies.
Recognising and reconstructing objects in real time from a moving camera. This project will use a moving camera to estimate the three-dimensional shape and identity of objects and surfaces it can see. This ability, which we humans use all the time, has wide application in automation including driver assistance, exploring hazardous environments, robotics, remote collaboration, and the creation of three-dimensional models for entertainment.
Optimal Robust Fitting under the Framework of LP-Type Problems. The project aims to develop algorithms to support the development of robust and accurate computer vision systems. Real-world visual data (images, videos) is inherently noisy and outlier prone. To build computer vision systems that work reliably in the real world, it is necessary to ensure that the underlying algorithms are robust and efficient. The project aims to devise novel algorithms that can compute the best possible result giv ....Optimal Robust Fitting under the Framework of LP-Type Problems. The project aims to develop algorithms to support the development of robust and accurate computer vision systems. Real-world visual data (images, videos) is inherently noisy and outlier prone. To build computer vision systems that work reliably in the real world, it is necessary to ensure that the underlying algorithms are robust and efficient. The project aims to devise novel algorithms that can compute the best possible result given the input data in a short amount of time. The expected outcomes would support the construction of reliable and accurate computer vision-based systems, such as large-scale 3-D reconstruction from photo collections, self-driving cars and domestic robots.Read moreRead less
Whole image understanding by convolutions on graphs. This project seeks to develop technologies that will help computer vision interpret the whole visible scene, rather than just some of the objects therein. Existing automated methods for understanding images perform well at recognising specific objects in canonical poses, but the problem of whole image interpretation is far more challenging. Convolutional neural networks (CNN) have underpinned recent progress in object recognition, but whole-im ....Whole image understanding by convolutions on graphs. This project seeks to develop technologies that will help computer vision interpret the whole visible scene, rather than just some of the objects therein. Existing automated methods for understanding images perform well at recognising specific objects in canonical poses, but the problem of whole image interpretation is far more challenging. Convolutional neural networks (CNN) have underpinned recent progress in object recognition, but whole-image understanding cannot be tackled similarly because the number of possible combinations of objects is too large. The project thus proposes a graph-based generalisation of the CNN approach which allows scene structure to be learned explicitly. This would represent an important step towards providing computers with robust vision, allowing them to interact with their environment.Read moreRead less
Target detection in visual clutter. The interdisciplinary nature of the project will offer a stimulating environment for training a postdoctoral worker in the hot topic of computational neuroscience. While computationally expensive solutions to moving target detection in clutter have been implemented using conventional engineering, this project will offer insight into the efficiency of the biological brain (with benefit of millions of years of evolution towards compact, economical and optimal so ....Target detection in visual clutter. The interdisciplinary nature of the project will offer a stimulating environment for training a postdoctoral worker in the hot topic of computational neuroscience. While computationally expensive solutions to moving target detection in clutter have been implemented using conventional engineering, this project will offer insight into the efficiency of the biological brain (with benefit of millions of years of evolution towards compact, economical and optimal solutions). The results will assist development of efficient artificial intelligence. It will also assist our ongoing collaborations with defence partners to develop and apply algorithms in artificial vision systems. Read moreRead less
Communication and information storage mechanisms in complex dynamical brain networks. Recordings of electrical activity in the brain often cycle repetitively. The aim of this research is to explain how these brain rhythms assist the brain to coordinate simultaneous activity in several regions. Australian socioeconomic benefits include: (i) contributions to the knowledge base of theoretical neuroscience, enhancing Australia's reputation for cutting-edge research; (ii) strengthening of internation ....Communication and information storage mechanisms in complex dynamical brain networks. Recordings of electrical activity in the brain often cycle repetitively. The aim of this research is to explain how these brain rhythms assist the brain to coordinate simultaneous activity in several regions. Australian socioeconomic benefits include: (i) contributions to the knowledge base of theoretical neuroscience, enhancing Australia's reputation for cutting-edge research; (ii) strengthening of international collaborations with Europe and Japan; (iii) outcomes will ultimately impact on improved medical bionics and future interfaces between brain activity and machines or computers; and (iv) commercialization and technology transfer opportunities, via the transfer of results to biologically inspired engineering.Read moreRead less
Three-dimensional Simulation of Trabecular Bone Remodelling. Nearly 2 million Australians currently suffer from osteoporosis. Statistics indicate that 25% of Australian women and 17% of men will develop an osteoporotic fracture. The cost of osteoporosis is $7.4 billion per annum; the numbers of affected individuals and costs are expected to continue increasing. Clearly, improvements to osteoporosis diagnosis, fracture risk assessment, and effective treatments are still urgently needed. The p ....Three-dimensional Simulation of Trabecular Bone Remodelling. Nearly 2 million Australians currently suffer from osteoporosis. Statistics indicate that 25% of Australian women and 17% of men will develop an osteoporotic fracture. The cost of osteoporosis is $7.4 billion per annum; the numbers of affected individuals and costs are expected to continue increasing. Clearly, improvements to osteoporosis diagnosis, fracture risk assessment, and effective treatments are still urgently needed. The proposed project aims to create a tool for understanding the mechanisms of bone loss and predicting the effects of osteoporosis therapies. It represents a solid contribution to the knowledge base necessary for advancing osteoporosis research and ultimately reducing the incidence of osteoporotic fracture.Read moreRead less
Raising the Internet's Quality of Service through improved congestion management. This project aims to develop methods for improving the service quality of the internet by better management of congestion. Improved service quality will be evident to internet users in the form of reduced delay and data loss. The proposed research is significant because as well as improving service quality, it will facilitate delivery of internet services over poor quality communications infrastructure such as is p ....Raising the Internet's Quality of Service through improved congestion management. This project aims to develop methods for improving the service quality of the internet by better management of congestion. Improved service quality will be evident to internet users in the form of reduced delay and data loss. The proposed research is significant because as well as improving service quality, it will facilitate delivery of internet services over poor quality communications infrastructure such as is present in many remote and regional areas of Australia. It also will result in more efficient utilisation of telecommunications infrastructure. The project will deliver implementations in the form of software which is easily installed in any computer.Read moreRead less